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Radar Detection and Discrimination of Small Maritime Targets at High Altitude and Grazing Angle

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-05-C-0271
Agency Tracking Number: N051-006-0399
Amount: $149,808.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N05-006
Solicitation Number: 2005.1
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-05-11
Award End Date (Contract End Date): 2005-11-11
Small Business Information
21311 Hawthorne Blvd., Suite 300
Torrance, CA 90503
United States
DUNS: 081116725
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Scott Grossman
 Program Manager
 (310) 543-5433
Business Contact
 Thomas Liesy
Title: Chier Financial Officer
Phone: (310) 543-5433
Research Institution

DTI proposes to build a piece of software called UAV-PET (UAV Performance Evaluation Tool) for efficient prediction of small target detection by radar in the maritime environment. We will leverage existing models and codes for state-of-the-art clutter modeling and surface signal and processing algorithms being developed in support of BAMS-UAV procurement. We will seek to make the models efficient for quick results, and will access them through a user-friendly interface. Initially, we will use this tool to efficiently explore a wider range of operational parameters than would be possible by existing computationally intensive codes. With appropriate code modularization, we also will be able to quickly assess the impact of model upgrades as they become available from the ongoing modeling effort in support of BAMS-UAV. In Phase 1, we will demonstrate feasibility by assembling an end-to-end computation for a single combination of platform, radar, environmental, and target parameters and processing scheme. We will plan for the user to be able modify all of these, including MMTI, SAR, and ISAR processing. This software also could be an aid to assess actual performance during BAMS-UAV testing, for operator training, and for characterizing MMA performance. This tool easily could be extended to ASW applications.

* Information listed above is at the time of submission. *

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